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BF fde-delivery-loop

An end-to-end delivery skill for Forward Deployed Engineers, solution architects, and enterprise AI POC teams. It combines one delivery router with eight independently runnable specialist modules to turn ambiguous customer needs into evidence, a POC charter, an acceptance-ready PRD, deployment architecture, an Agent Skill, POC evidence, adoption and value conclusions, and reusable delivery assets.

ClawHub Agent Skills author: xukun0821 v1.0.0 MIT-0 80 files body ≈ 1 681 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

An end-to-end delivery skill for Forward Deployed Engineers, solution architects, and enterprise AI POC teams.

As a process F 53/100 · Will not run — References files that are not bundled: fde-problem-discovery/MODULE.md, fde-prd-writer/MODULE.md, fde-poc-runner/MODULE.md

ProcedureLogistics and warehouseInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: fde-problem-discovery/MODULE.md, fde-prd-writer/MODULE.md, fde-poc-runner/MODULE.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: fde-problem-discovery/MODULE.md
  • warning missing-ref reference to a missing file: fde-prd-writer/MODULE.md
  • warning missing-ref reference to a missing file: fde-poc-runner/MODULE.md
  • warning missing-ref reference to a missing file: scripts/project-state.js

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: fde-problem-discovery/MODULE.md, fde-prd-writer/MODULE.md, fde-poc-runner/MODULE.md
  • 0Tools and files. 4 referenced file(s) missing: fde-problem-discovery/MODULE.md, fde-prd-writer/MODULE.md, fde-poc-runner/MODULE.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 100Steps. 21 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1681 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 400: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a disclosed FDE delivery workflow suite with local, user-directed helper scripts and no evidence of hidden external actions or credential handling.
LLM: benign (high) · VirusTotal: · 7 Aug 2026